Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ptitty12/lunar1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ptitty12/lunar1 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ptitty12/lunar1", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d89f0d2c3be3a538b8af5466735b0fbc3a3494aa94510fddf5d0d33e50816e53
- Size of remote file:
- 148 kB
- SHA256:
- 08398d20bf345c245be8acc761b81aa4ee4698c2425470b58f0bf548415b10e7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.